Training in progress, epoch 0

.gitignore

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config.json

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+  "_name_or_path": "nlptown/bert-base-multilingual-uncased-sentiment",
+  "_num_labels": 5,
+  "architectures": [
+    "BertForSequenceClassification"
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+  "directionality": "bidi",
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+    "1": "2 stars",
+    "2": "3 stars",
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+    "4": "5 stars"
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+    "3 stars": 2,
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+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
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+  "use_cache": true,
+  "vocab_size": 105879
+}

pytorch_model.bin

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special_tokens_map.json

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+  "mask_token": "[MASK]",
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+  "sep_token": "[SEP]",
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tokenizer_config.json

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+  "do_lower_case": true,
+  "mask_token": "[MASK]",
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+  "model_max_length": 512,
+  "name_or_path": "nlptown/bert-base-multilingual-uncased-sentiment",
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+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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